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An automated enterprise HR engine that eliminates 'Excel Hell' via deterministic payroll waterfalls, Gemini-powered candidate scoring, and decentralized management workflows for massive organizational scaling.
Project Challenge:
Super-Employee was developed to empower the workforce at an enterprise scale (500k+ users) by providing a high-concurrency mobile portal for real-time HR interactions. Traditional systems suffer from 'Excel Hell' and centralized bottlenecks. The challenge was building a Redis-buffered check-in system capable of surviving the 'Thundering Herd' at 08:00 AM, implementing geofenced attendance with dual-coordinate tracking, and ensuring an offline-ready experience for field workers using Expo and a tRPC proxy.
Steps:
- Clock in/out with real-time geofence verification and dual-coordinate capture.
- Submit leave requests with mandatory document uploads (e.g., medical certificates).
- View automated, immutable payslip snapshots with O(1) retrieval speed.
- Track personal work duration and attendance anomalies through a local-first dashboard.
- Request business reimbursements with pattern-based AI fraud detection.
Tech / Framework:
- Expo / React Native (TypeScript)
- Redis (Buffer/Queue)
- tRPC + Next.js (Edge Proxy)
- SQLite (Local Cache)
- UploadThing (Document Storage)
Achievement:
I designed and built the entire mobile client architecture, focusing on high-concurrency ingestion logic. I implemented the Redis buffer strategy to decouple mobile traffic from the core database, ensuring system stability during peak check-in hours. I also engineered the local-first payslip view, allowing 500k users to access their financial data without triggering expensive server-side recalculations.
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